5 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 5 cited
Devil in the Landscapes: Inferring Epidemic Exposure Risks from Street View Imagery
Zhenyu Han, Yanxin Xi, Tong Xia +2
Built environment supports all the daily activities and shapes our health. Leveraging informative street view imagery, previous research has established the profound correlation be…
cs.CY2023★ 4 cited
FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing
Sofia Yfantidou, Dimitris Spathis, Marios Constantinides +2
How can we ensure that Ubiquitous Computing (UbiComp) research outcomes are both ethical and fair? While fairness in machine learning (ML) has gained traction in recent years, fair…
cs.LG2023
Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection
Tong Xia, Jing Han, Abhirup Ghosh +1
Federated learning (FL) aided health diagnostic models can incorporate data from a large number of personal edge devices (e.g., mobile phones) while keeping the data local to the o…